\section{Conclusion and Future Work}
\label{sec:Conclusions}
In this paper we attempted a simple model of the evolution for secure routing of wireless sensor networks using neuroevolution techniques. This model allow us to avoid intruder affect in network and propagate data through energy efficient paths.

Modeling this project required understanding of varied techniques such as evolutionary algorithms, neural network applications, topology implementations, wide knowledge of existing topologies and study of neuroevolution. That took significant portion of our project length time. Designing the simulation model required to interpret class structure of library of YAES for our experiments and understanding ANJI architecture. Also due to lack of time in proper experimentation with parameters settings we have only preliminary results. For now due to the thorough understanding of project, we would like continue experimentation for generating and improving results.

As a future work, after having successful performance evaluations on intrusion avoidance with neuroevolutionary algorithms, we are planning to evaluate performance of neuroevolutionary algorithms for wireless sensor networks with mobile elements(mobile sinks, mobile sensor nodes), including WSNs with multiple sink nodes. Furthermore, we are planning to evaluate this approach for aerial sensor networks, since there exists an increasing interest in usage of unmanned aerial vehicles (UAVs) to form networks and modeling wireless sensor networks in 3D environments.

